Deanna M. Koepp

5.8k total citations · 3 hit papers
33 papers, 4.8k citations indexed

About

Deanna M. Koepp is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Deanna M. Koepp has authored 33 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Oncology and 12 papers in Cell Biology. Recurrent topics in Deanna M. Koepp's work include Ubiquitin and proteasome pathways (13 papers), Cancer-related Molecular Pathways (11 papers) and Nuclear Structure and Function (8 papers). Deanna M. Koepp is often cited by papers focused on Ubiquitin and proteasome pathways (13 papers), Cancer-related Molecular Pathways (11 papers) and Nuclear Structure and Function (8 papers). Deanna M. Koepp collaborates with scholars based in United States, Germany and Canada. Deanna M. Koepp's co-authors include J. Wade Harper, Stephen J. Elledge, Pamela A. Silver, Ronald Conaway, Joan Conaway, Claire Chu, Michael N. Conrad, Takumi Kamura, Dorota Skowyra and Xin Ye and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Deanna M. Koepp

32 papers receiving 4.8k citations

Hit Papers

Structure of the Cul1–Rbx... 1999 2026 2008 2017 2002 1999 2001 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deanna M. Koepp United States 18 4.2k 1.2k 893 548 469 33 4.8k
Annette M.G. Dirac Netherlands 17 3.7k 0.9× 1.2k 1.0× 477 0.5× 811 1.5× 468 1.0× 18 4.3k
Travis H. Stracker Spain 31 3.1k 0.7× 1.1k 0.9× 487 0.5× 524 1.0× 290 0.6× 60 3.8k
Robert J. Duronio United States 45 5.9k 1.4× 1.0k 0.8× 1.6k 1.7× 329 0.6× 213 0.5× 114 6.9k
Michael N. Boddy United States 34 4.9k 1.2× 936 0.8× 1.1k 1.3× 475 0.9× 309 0.7× 52 5.2k
James E. Brownell United States 21 5.1k 1.2× 875 0.7× 318 0.4× 357 0.7× 391 0.8× 34 5.7k
Matthew D. Petroski United States 18 3.7k 0.9× 828 0.7× 595 0.7× 731 1.3× 648 1.4× 29 4.0k
Jenő Gyuris United States 23 4.0k 1.0× 1.7k 1.3× 836 0.9× 473 0.9× 209 0.4× 56 5.5k
Jamal Tazi France 43 5.3k 1.3× 497 0.4× 284 0.3× 511 0.9× 186 0.4× 87 6.0k
Cheng-Ming Chiang United States 36 4.1k 1.0× 792 0.6× 184 0.2× 710 1.3× 675 1.4× 62 5.1k
JoAnn Sekiguchi United States 39 5.1k 1.2× 1.7k 1.4× 433 0.5× 786 1.4× 253 0.5× 95 6.3k

Countries citing papers authored by Deanna M. Koepp

Since Specialization
Citations

This map shows the geographic impact of Deanna M. Koepp's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Deanna M. Koepp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deanna M. Koepp more than expected).

Fields of papers citing papers by Deanna M. Koepp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Deanna M. Koepp. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Deanna M. Koepp. The network helps show where Deanna M. Koepp may publish in the future.

Co-authorship network of co-authors of Deanna M. Koepp

This figure shows the co-authorship network connecting the top 25 collaborators of Deanna M. Koepp. A scholar is included among the top collaborators of Deanna M. Koepp based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Deanna M. Koepp. Deanna M. Koepp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Chaudhury, Indrajit & Deanna M. Koepp. (2016). Degradation of Mrc1 promotes recombination-mediated restart of stalled replication forks. Nucleic Acids Research. 45(5). 2558–2570. 7 indexed citations
2.
Chaudhury, Indrajit & Deanna M. Koepp. (2016). Recovery from the DNA Replication Checkpoint. Genes. 7(11). 94–94. 13 indexed citations
3.
Koepp, Deanna M.. (2014). Cell Cycle Regulation by Protein Degradation. Methods in molecular biology. 1170. 61–73. 14 indexed citations
4.
Kim, Donghwan & Deanna M. Koepp. (2014). Analyzing Cell Cycle-Dependent Degradation and Ubiquitination in Budding Yeast. Methods in molecular biology. 1170. 343–356. 3 indexed citations
5.
Kim, Donghwan & Deanna M. Koepp. (2012). Hect E3 ubiquitin ligase Tom1 controls Dia2 degradation during the cell cycle. Molecular Biology of the Cell. 23(21). 4203–4211. 13 indexed citations
6.
Kim, Dong‐Hwan, Wei Zhang, & Deanna M. Koepp. (2012). The Hect Domain E3 Ligase Tom1 and the F-box Protein Dia2 Control Cdc6 Degradation in G1 Phase. Journal of Biological Chemistry. 287(53). 44212–44220. 18 indexed citations
7.
Zhang, Wei, Elizabeth M. MacDonald, & Deanna M. Koepp. (2012). The Stomatin-Like Protein SLP-1 and Cdk2 Interact with the F-Box Protein Fbw7-γ. PLoS ONE. 7(10). e47736–e47736. 4 indexed citations
8.
Kile, Andrew C., et al.. (2010). TORC1 kinase and the S-phase cyclin Clb5 collaborate to promote mitotic spindle assembly and DNA replication in S. cerevisiae. Current Genetics. 56(6). 479–493. 6 indexed citations
9.
Wang, Xuelin, Wei Zhang, Thomas R. Cheever, et al.. (2008). The C. elegans L1CAM homologue LAD-2 functions as a coreceptor in MAB-20/Sema2–mediated axon guidance. The Journal of Cell Biology. 180(1). 233–246. 50 indexed citations
10.
Zhang, Wei & Deanna M. Koepp. (2006). Fbw7 Isoform Interaction Contributes to Cyclin E Proteolysis. Molecular Cancer Research. 4(12). 935–943. 51 indexed citations
11.
Liu, Fen, Naixia Zhang, X. Edward Zhou, et al.. (2006). Arylamine N-acetyltransferase Aggregation and Constitutive Ubiquitylation. Journal of Molecular Biology. 361(3). 482–492. 30 indexed citations
12.
Yang, Kang, Naixia Zhang, Deanna M. Koepp, & Kylie J. Walters. (2006). Ubiquitin Receptor Proteins hHR23a and hPLIC2 Interact. Journal of Molecular Biology. 365(4). 1093–1101. 34 indexed citations
13.
Zheng, Ning, Brenda A. Schulman, Langzhou Song, et al.. (2002). Structure of the Cul1–Rbx1–Skp1–F boxSkp2 SCF ubiquitin ligase complex. Nature. 416(6882). 703–709. 1216 indexed citations breakdown →
14.
Koepp, Deanna M., Laura Schaefer, Xin Ye, et al.. (2001). Phosphorylation-Dependent Ubiquitination of Cyclin E by the SCF Fbw7 Ubiquitin Ligase. Science. 294(5540). 173–177. 649 indexed citations breakdown →
15.
Winston, Jeffrey, Deanna M. Koepp, Cihui Zhu, Stephen J. Elledge, & J. Wade Harper. (1999). A family of mammalian F-box proteins. Current Biology. 9(20). 1180–S3. 299 indexed citations
16.
Koepp, Deanna M., J. Wade Harper, & Stephen J. Elledge. (1999). How the Cyclin Became a Cyclin. Cell. 97(4). 431–434. 372 indexed citations
17.
Koepp, Deanna M. & Pamela A. Silver. (1998). Nucleocytoplasmic transport and cell proliferation. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1377(2). M39–M47. 8 indexed citations
18.
Koepp, Deanna M. & Pamela A. Silver. (1996). A GTPase Controlling Nuclear Trafficking: Running the Right Way or Walking RANdomly?. Cell. 87(1). 1–4. 195 indexed citations
19.
Corbett, Anita H., Paul Ko Ferrigno, Michael Henry, et al.. (1996). Genetic Analysis of Macromolecular Transport across the Nuclear Envelope. Experimental Cell Research. 229(2). 212–216. 9 indexed citations
20.
Joung, J. Keith, Deanna M. Koepp, & Ann Hochschild. (1994). Synergistic Activation of Transcription by Bacteriophage λ cI Protein and E. coli cAMP Receptor Protein. Science. 265(5180). 1863–1866. 64 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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